Skill UI

This workflow executes the primary Ideogram API calls for advanced text-to-image generation. Ideogram excels at rendering legible text within images, a crucial capability for creating realistic signs, menus, or branding elements. Use this for generating high-quality social media graphics, marketing banners, product mockups, and posters that require accurate and stylized typography combined with illustration.

Generate or edit high-quality photos, illustrations, and visual assets using OpenRouter models like Gemini 3.1 Flash and Flux 2 Pro; configure the API key once, then run the scripts for prompts, edits, or batch outputs for presentations, marketing, or general creative needs.

This intelligent studio acts as a visual creative director, automatically routing image requests to the optimal specialized AI model. It handles hyper-realistic portrait generation (for influencers/professional photos) and advanced artistic creation, illustration, and photo manipulation (upscale, inpainting, background removal). Use it for professional content creation requiring specialized visual expertise.

A comprehensive tool for generating detailed pixel art SVG illustrations. Ideal for enhancing READMEs, documentation, or presentations by creating cute, retro-style character scenes, dialogue layouts, and group compositions using structured SVG components and defined color palettes.

This sophisticated tool generates publication-quality AI illustrations and diagrams for academic papers. It implements a multi-stage, iterative workflow, using advanced LLMs (like Claude and Gemini) to parse user requests, optimize complex layouts, verify academic styling (e.g., CVPR/NeurIPS standards), and render high-fidelity figures. Ideal for researchers needing professional, complex visuals for their manuscripts.

Generate and edit images using OpenRouter's AI models like Gemini and Seedream. Supports photos, illustrations, logos, and concept art via command line. Requires API key for generation tasks.

This advanced skill is designed to generate high-quality, publication-ready academic illustrations and diagrams. It utilizes a sophisticated, multi-stage iterative workflow involving Claude for planning, layout optimization, and strict visual review, combined with a dedicated local Codex app-server bridge for native image rendering. The process ensures that generated figures meet the rigorous aesthetic and structural standards required for top-tier conferences and journals (e.g., CVPR, NeurIPS).

A powerful, provider-agnostic skill dedicated to generating high-quality, single-image assets such as posters, key art, and editorial illustrations. This tool utilizes a structured, multi-step prompt composition workflow (Subject, Lighting, Palette, Camera) to ensure cinematic and artistic consistency, regardless of the underlying AI model (Flux, Imagen, Midjourney). Ideal for designers needing professional-grade visual concepts.

Generate unique, 16:9 hand-drawn illustrations for articles, blog posts, and technical documentation. This skill translates abstract cognitive anchor points into clean, absurd, and memorable whiteboard sketches. It features a consistent, recurring character, 'Grav,' who actively drives the narrative, ensuring a unique and professional visual language across all your content.

This skill guides authors through the rigorous process of securing illustrations and reproduction rights for art-historical publications. It covers identifying rights holders, differentiating between fair use and paid permissions, securing world rights, and prepping high-resolution assets (e.g., 300 dpi TIFFs). Crucially, it emphasizes starting the clearance process early, in parallel with writing, to avoid publication delays.

This guide outlines the stringent standards for academic paper reproducibility in theoretical machine learning (e.g., COLT). It provides a comprehensive pre-submission audit checklist covering formal proof completeness, assumption bookkeeping, constant tracking, and ensuring numerical illustrations are fully traceable. Use this methodology to strengthen your theoretical claims and withstand rigorous peer review.

This guide provides rigorous advice for researchers on how to appropriately incorporate computation, case analysis, and constructions into top-tier theoretical computer science papers. It distinguishes between proof-bearing computations, honestly reported discoveries (including those found by AI), and mere illustrations, ensuring submissions maintain academic rigor while avoiding the pitfalls of empirical benchmarking.